pca.py

from sklearn.decomposition import PCA
from sklearn.preprocessing import MinMaxScaler


def get_pca(features):
    pca = PCA(n_components=2)
    transformed = pca.fit(features).transform(features)
    scaler = MinMaxScaler()
    scaler.fit(transformed)
    return scaler.transform(transformed)
  

my_array_of_feature_vectors = ...
scaled_pca = get_pca(my_array_of_feature_vectors)